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Prestige-biased social learning: current evidence and outstanding questions

Author

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  • Ángel V. Jiménez

    (University of Exeter, Biosciences)

  • Alex Mesoudi

    (University of Exeter, Biosciences)

Abstract

Cultural evolution theory posits that a major factor in human ecological success is our high-fidelity and selective social learning, which permits the accumulation of adaptive knowledge and skills over successive generations. One way to acquire adaptive social information is by preferentially copying competent individuals within a valuable domain (success bias). However, competence within a domain is often difficult or impossible to directly assess. Almost 20 years ago, Henrich and Gil-White (H&GW) suggested that people use indirect cues of success (e.g., differential levels of attention paid to models by other social learners) as adaptive short-cuts to select models from whom to learn. They called this use of indirect markers of success prestige bias. In this review, we re-visit H&GW’s proposal, examining the evidence amassed since for the adaptiveness and use of prestige bias in humans. First, we briefly outline H&GW’s theory. Second, we analyse whether prestige is associated with competence within valuable domains, which is a crucial assumption underlying the adaptiveness of prestige bias. Third, we discuss prestige cues that people use to infer success (e.g., the amount of voluntary deference and attention received by models). Fourth, we examine the evidence for and against the use of prestige bias in human adults and children. Finally, we point out limitations in the current literature and present new avenues for research on prestige bias.

Suggested Citation

  • Ángel V. Jiménez & Alex Mesoudi, 2019. "Prestige-biased social learning: current evidence and outstanding questions," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-12, December.
  • Handle: RePEc:pal:palcom:v:5:y:2019:i:1:d:10.1057_s41599-019-0228-7
    DOI: 10.1057/s41599-019-0228-7
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    References listed on IDEAS

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    1. Jiménez, Ángel V. & Stubbersfield, Joseph M. & Tehrani, Jamshid J., 2018. "An experimental investigation into the transmission of antivax attitudes using a fictional health controversy," Social Science & Medicine, Elsevier, vol. 215(C), pages 23-27.
    2. Joseph Henrich & Steve J. Heine & Ara Norenzayan, 2010. "The Weirdest People in the World?," RatSWD Working Papers 139, German Data Forum (RatSWD).
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    Cited by:

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    2. Julián D. Cortés & Daniel A. Andrade, 2022. "Winners and runners-up alike?—a comparison between awardees and special mention recipients of the most reputable science award in Colombia via a composite citation indicator," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-14, December.
    3. Claes Andersson & Claudio Tennie, 2023. "Zooming out the microscope on cumulative cultural evolution: ‘Trajectory B’ from animal to human culture," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-20, December.
    4. Brand, Charlotte Olivia & Acerbi, Alberto & Mesoudi, Alex, 2019. "Cultural evolution of emotional expression in 50 years of song lyrics," SocArXiv 3j6wx, Center for Open Science.
    5. Ivo Steimanis & Esther Blanco & Björn Vollan, 2024. "Conditional Payments for Democracy to Local Leaders Managing Natural Resources in Rural Namibia," Working Papers 2024-03, Faculty of Economics and Statistics, Universität Innsbruck.
    6. Clark, Matt & Andrews, Jeffrey & Hillis, Vicken, 2022. "A quantitative application of diffusion of innovations for modeling the spread of conservation behaviors," Ecological Modelling, Elsevier, vol. 473(C).
    7. Robin Watson & Thomas J. H. Morgan & Rachel L. Kendal & Julie Van de Vyver & Jeremy Kendal, 2021. "Social Learning Strategies and Cooperative Behaviour: Evidence of Payoff Bias, but Not Prestige or Conformity, in a Social Dilemma Game," Games, MDPI, vol. 12(4), pages 1-26, November.
    8. Laurent Gauthier, 2023. "A Cliometric Perspective on Cultural Spread: Roman and Christian Names in Ancient Greece," Working Papers hal-03991811, HAL.

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